Experience Level: Mid–Senior (7+ years)

Employment Type: Contract | Onsite/Hybrid (Local Candidates Only)

Industry: Information Technology & Services

Education: Bachelor’s in Computer Science/Engineering (Master’s preferred)

Visa Sponsorship: ❌ Not available

Relocation Assistance: ❌ Not available

About the Role

We are seeking a highly skilled Machine Learning Engineer to join a cutting-edge technology team working on AI-driven innovation projects. In this role, you’ll lead end-to-end ML initiatives — from concept to production — collaborating closely with cross-functional stakeholders to build scalable, production-grade ML systems that deliver measurable business impact.

Key Responsibilities

Lead and manage the full lifecycle of ML projects, from design to deployment.
Partner with data scientists and business leaders to define success metrics and optimize model outcomes.
Build optimized data pipelines and scalable architectures for ML model deployment.
Work hands-on with Generative AI frameworks, including LangChain and Retrieval-Augmented Generation (RAG).
Implement and extend ML and DL libraries such as XGBoost, SKlearn, TensorFlow, and PyTorch.
Design ML solutions using AWS, GCP, and platforms like SageMaker, H2O, and DataRobot.
Establish and maintain governance and monitoring frameworks for production ML models.
Drive innovation and define technical roadmaps and standards for ML engineering excellence.

Required Skills & Experience

✅ 7+ years of hands-on experience in Machine Learning and Software Engineering

✅ Advanced programming proficiency in Python, Java, and Scala

✅ Strong understanding of algorithms, data structures, and multithreading

✅ Proven experience with Generative AI (LangChain, RAG)

✅ Expertise with ML lifecycle components (containers, real-time endpoints, CI/CD, model security)

✅ Deep experience deploying ML solutions on AWS or GCP

✅ Agile/Scrum experience and cross-functional collaboration skills

Nice-to-Have

Master’s degree in Computer Science or related field
Familiarity with DataRobot, H2O.ai, or similar automation tools
Experience leading small technical teams or mentoring junior engineers

Additional Notes

📄 Please submit resumes in PDF format only
🔗 Remove any LinkedIn URLs before submission (profiles with LinkedIn links will not be considered)
⚠️ Former TCS employees are not eligible for rehire, and ex-contractors must have a minimum 6-month gap before re-engagement

Medilinkers LLC

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